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\section{Conclusion}
\label{sec:conclusion}

In this report, we performed a comparative study of the performances of
Orchestra and Orchestra with Topology Switching in terms of optimizing
shuffle transfers in Hadoop MapReduce jobs. We found that the time taken to
complete a job when its transfer is managed by Orchestra was approximately
the same as the time taken to complete the same job when submitted to
Orchestra with topology Switching.

We suspect that may be so due to the overheads incurred during
re-adjustment of rate limits across all flows whenever a new reducer
fetches data from a mapper.
